AI Native Software Engineer (Background core Python)

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)

• We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

• We are robust and resilient (100% independent, 0 debt, founded 2009)

• We are AI-native professionals who invest in what we believe and work as a collective intelligence

• We are positive, courageous and deliver at the leading edge.

Your Role

As a Senior Back End Python Developer, you will be responsible for designing and implementing high-quality, scalable, and maintainable solutions. You will contribute to the development of robust applications, ensuring best practices and high performance.

• Develop and optimize scalable and high-performance Python-based applications.

• Implement best practices and coding standards for Python development.

• Participate in the full software development lifecycle, from concept to deployment.

• Collaborate with cross-functional teams to define requirements, propose solutions, and manage risks.

• Work with modern frameworks, microservices architecture, and cloud-native solutions.

• Optimize applications for speed, scalability, and security.

• Conduct code reviews and provide feedback to maintain code quality and best practices.

• Troubleshoot performance issues and ensure the reliability of production systems.

• Implement DevOps best practices and CI/CD pipelines for efficient deployment and automation.

Who You Are

• Experience: 5+ years of experience in software development with Python.

• Strong expertise in Python frameworks (Django, Flask, or FastAPI).

• Experience designing RESTful APIs and working with GraphQL.

• Proficiency in microservices architecture and cloud platforms (AWS, Azure, or GCP).

• Knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, or Redis).

• Familiarity with containerization and orchestration tools (Docker, Kubernetes).

• Experience with CI/CD pipelines and DevOps practices (Git, Jenkins, GitLab CI/CD).

• Understanding of security best practices, authentication mechanisms (OAuth, JWT), and compliance standards.

• Strong knowledge of testing frameworks (PyTest, Unittest) and performance optimization.

• Experience with AI.

AI-Native Engineering (Core Expectation) 

• Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for: 

• Code scaffolding and refactoring

• Code generation and optimisation

• Test-cases and documentation generation

• Build applications through AI-driven development practices, including: 

• AI-assisted debugging and troubleshooting

• Intelligent code completion and pattern recognition

• Automated documentation generation

• Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

• Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects (including Gen-e2™)

• Knowledge sharing

• Personalized training via PALO IT Academy

• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.